The Ndeffo Lab has a position available for a postdoctoral fellow, who will be based at the College of Veterinary Medicine and Biomedical Sciences at Texas A&M University. The position focuses on mathematical and computational modeling of infectious disease epidemiology. We are looking for an enthusiastic, highly motivated, and experienced candidate to join our research team.

Research projects will address important and timely questions in public and global health. Potential projects may focus on COVID-19 modeling, macro-parasitic diseases, vaccine-preventable diseases, or other applied topics in infectious disease epidemiology. The ideal candidate will have strong quantitative, computational, and communication skills demonstrated by past productivity including publications and/or other scientific and technical output. The candidate should have prior research experience with developing data-driven compartmental (deterministic and/or stochastic) models with Bayesian inference methods, or individual-based (agent-based) models, strong programming skills in at least one of the following languages (MATLAB, Mathematica, R, Python), and Ability to work independently and execute research projects with minimal supervision.
Review of applications will begin immediately, and the position will remain open until filled. The expected start date is flexible. A competitive salary will be commensurate with experience. The position comes with a standard benefits package available at Texas A&M University. The cost of living in College Station, TX, is relatively low.

Applications should include a CV, statement of research interests, copies of recent publications (relevant to the project), the contact of two references, and be e-mailed as a single pdf file to m.ndeffo@tamu.edu. Only selected applicants will be contacted. Incomplete applications will not be considered.

Texas A&M University is a smoke-free workplace. Texas A&M University is an Equal Opportunity/Affirmative Action Employer/ Educator fully committed to maintaining diversity among our personnel in order to strengthen the success of our mission.